# Copyright (c) 2023-2023 Huawei Technologies Co., Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import sys
import os
import json
import unittest
import torch
import torch_npu
import torch.nn as nn

from ait_llm.opcheck import operation_test


class OpcheckSortOperation(operation_test.OperationTest):    
    def golden_calc(self, in_tensors):
        values, indices = torch.topk(in_tensors[0], k=self.op_param["num"][0], largest=True)
        return [values, indices.int()]

    def test_3d_float(self):
        self.execute()